CN108538263B - Method and device for adjusting color temperature - Google Patents

Abstract

The embodiment of the invention discloses a color temperature adjusting method and device. The color temperature adjusting method includes: optimizing the initial color temperature relation set according to the fitness value of each element in the initial color temperature relation set to generate an optimized color temperature relation set; each element in the set is a corresponding relation between an eye comfort value and a color temperature value, and the fitness value of each element in the optimized color temperature relation set meets a first threshold value; detecting the eye comfort value of the current user, determining the color temperature value corresponding to the eye comfort value of the current user according to the corresponding relation between the eye comfort value and the color temperature value of each element in the optimized color temperature relation set, and adjusting the color temperature according to the determined color temperature value. According to the embodiment of the invention, the color temperature values suitable for different crowds or specific users are matched in consideration of personal differences of different crowds or different users, and the intelligence and humanization of color temperature adjustment are improved.

Description

Method and device for adjusting color temperature

technical field

The present application relates to, but is not limited to, the technical field of display lighting, and more particularly, to a color temperature adjustment method and device.

Background technique

With the development of display lighting technology, display devices have been widely used in people's daily life, such as common LCD monitors, smart phones, tablet computers, etc. The comfort of display devices during use has become a factor when users choose LCD devices. basis for consideration.

At present, most display devices on the market have the ability to adjust brightness, and the effect on the protection and comfort of human eyes is relatively limited. Color temperature is a general indicator representing the spectral quality of a light source, which has a significant impact on people's psychology. The color temperature adjustment methods in the prior art mainly include the following: First, using a preset color temperature value, the current red color of the pixel is adjusted. , green and blue component intensities are recalculated, but this method does not explain how to preset the color temperature value, and the real-time adjustment of color temperature is poor, and the adjustment accuracy is poor; second, the warm white temperature is distributed on the light bar at intervals , The cool white temperature lamp beads are adjusted at the same time to obtain different color temperatures. This method has low adjustment accuracy and cannot perform continuous dimming. Third, collect human body parameters and change the color temperature through a microcontroller. This method is implemented by specific instructions. The circuit structure is low, and the adjustment precision is low; fourth, the color temperature is adjusted by controlling the driving current of a plurality of single-color LEDs, and the calculation method in this method is complicated and difficult to realize.

It can be seen that the existing color temperature adjustment technology generally has the problems of poor adjustment accuracy, complicated calculation method and difficult implementation.

SUMMARY OF THE INVENTION

In order to solve the above technical problems, the embodiments of the present invention provide a color temperature adjustment method and device, which take into account the individual differences of different groups of people or different users, match color temperature values suitable for different groups of people or specific users, and improve the intelligence of color temperature adjustment and humanization.

An embodiment of the present invention provides a color temperature adjustment method, including:

According to the fitness value of each element in the initial color temperature relationship set, the initial color temperature relationship set is optimized to generate an optimized color temperature relationship set; wherein, each element in the set is the corresponding relationship between the eye comfort value and the color temperature value , the fitness value of each element in the optimized color temperature relationship set conforms to the first threshold;

Detect the eye comfort value of the current user, determine the color temperature value corresponding to the eye comfort value of the current user according to the corresponding relationship between the eye comfort value and the color temperature value of each element in the optimized color temperature relationship set, and determine the color temperature value corresponding to the eye comfort value of the current user. The determined color temperature value is used for color temperature adjustment.

Optionally, in the above color temperature adjustment method, the performing optimization processing on the initial color temperature relationship set to generate an optimized color temperature relationship set includes:

In the initial color temperature relationship set, elements whose fitness values meet the first threshold are selected as the first subset, and elements whose fitness values do not meet the first threshold are selected as the second subset;

Performing a genetic operation on the second subset, and using the generated fitness value that meets the first threshold as the third subset;

The first subset and the third subset are added to the set of optimized color temperature relationships.

Optionally, in the above-mentioned color temperature adjustment method, the genetic operation is performed on the second subset, and the elements whose fitness values meet the first threshold are used as the third subset, including:

One or more of a selection operation, a crossover operation, and a mutation operation are performed on the elements in the second subset until the third subset is generated.

Optionally, in the above color temperature adjustment method, performing one or more of a selection operation, a crossover operation and a mutation operation on the elements in the second subset, including:

selecting elements in the second subset whose fitness values meet the second threshold, and performing a crossover operation or mutation operation on the selected elements;

A crossover or mutation operation is performed on unselected elements in the second subset.

Optionally, in the above color temperature adjustment method, performing one or more of a selection operation, a crossover operation, and a mutation operation on the elements in the second subset, further comprising:

Adding elements whose fitness values generated after the previous operation meet the first threshold are added to the third subset, and elements whose fitness values do not meet the first threshold are added to the fourth subset, according to the The fitness value of each element in the fourth subset performs one or more of a selection operation, a crossover operation, and a mutation operation on the fourth subset, until the fitness values of the elements generated after the operation meet the requirements of the fourth subset. a threshold.

The embodiment of the present invention also provides a color temperature adjustment device, comprising:

The optimization processing module is configured to perform optimization processing on the initial color temperature relationship set according to the fitness value of each element in the initial color temperature relationship set to generate an optimized color temperature relationship set; wherein, each element in the set is an eye comfort value The corresponding relationship with the color temperature value, the fitness value of each element in the optimized color temperature relationship set conforms to the first threshold;

A color temperature determination module, configured to detect the eye comfort value of the current user, and determine the current user according to the corresponding relationship between the eye comfort value and the color temperature value of each element in the optimized color temperature relationship set generated by the optimization processing module The color temperature value corresponding to the eye comfort value of ;

The color temperature adjustment module is used to adjust the color temperature according to the color temperature value determined by the color temperature determination module.

Optionally, in the above-mentioned color temperature adjustment device, the optimization processing module includes:

The selection unit is configured to select the elements whose fitness values meet the first threshold in the initial color temperature relationship set as the first subset according to the fitness value of each element in the initial color temperature relationship set, and use the fitness value Elements that do not meet the first threshold are used as a second subset;

a processing unit, configured to perform a genetic operation on the second subset, and use the generated fitness value that meets the first threshold as the third subset;

A generating unit, configured to add the first subset and the third subset to the optimized color temperature relationship set.

Optionally, in the above-mentioned color temperature adjustment device, the processing unit performs a genetic operation on the second subset, and uses the generated elements whose fitness values meet the first threshold as the third subset, including:

One or more of a selection operation, a crossover operation, and a mutation operation are performed on the elements in the second subset until the third subset is generated.

Optionally, in the above color temperature adjustment device, the processing unit performs one or more of a selection operation, a crossover operation and a mutation operation on the elements in the second subset, including:

selecting elements in the second subset whose fitness values meet the second threshold, and performing a crossover operation or mutation operation on the selected elements;

A crossover or mutation operation is performed on unselected elements in the second subset.

Optionally, in the above color temperature adjustment device, the processing unit performs one or more of a selection operation, a crossover operation, and a mutation operation on the elements in the second subset, and further includes:

Adding elements whose fitness values generated after the previous operation meet the first threshold are added to the third subset, and elements whose fitness values do not meet the first threshold are added to the fourth subset, according to the The fitness value of each element in the fourth subset performs one or more of a selection operation, a crossover operation, and a mutation operation on the fourth subset, until the fitness values of the elements generated after the operation meet the requirements of the fourth subset. a threshold.

An embodiment of the present invention also provides a computer device, including: a memory and a processor;

the memory for storing executable instructions;

The processor is configured to implement the color temperature adjustment method according to any one of the above when executing the executable instructions stored in the memory.

Embodiments of the present invention further provide a computer-readable storage medium, where the computer-readable storage medium stores executable instructions, and when the executable instructions are executed by a processor, implements the color temperature adjustment method described in any one of the above.

The color temperature adjustment method and device provided by the embodiments of the present invention perform optimization processing on the pre-established initial color temperature relationship set according to the fitness value of each element in the initial color temperature relationship set, so as to generate an optimization process in which each element complies with the preset conditions The color temperature relationship set, so that when the eye comfort value of the current user is detected, according to the corresponding relationship between the eye comfort value and the color temperature value of each element in the optimized color temperature relationship set, the detected eye comfort value of the current user is determined. The corresponding color temperature value, so as to adjust the color temperature. The elements in the above set are the corresponding relationship between the eye comfort value and the color temperature value; the color temperature adjustment method provided by the embodiment of the present invention takes into account the individual differences of different groups of people or different users. It can generate color temperature values suitable for different groups of people or specific users, which improves the intelligence and humanization of color temperature adjustment.

Description of drawings

The accompanying drawings are used to provide a further understanding of the technical solutions of the present invention, and constitute a part of the specification. They are used to explain the technical solutions of the present invention together with the embodiments of the present application, and do not limit the technical solutions of the present invention.

1 is a flowchart of a method for adjusting color temperature provided by an embodiment of the present invention;

2 is a flowchart of another color temperature adjustment method provided by an embodiment of the present invention;

3 is a flowchart of another color temperature adjustment method provided by an embodiment of the present invention;

4 is a schematic structural diagram of a color temperature adjustment device according to an embodiment of the present invention;

5 is a schematic structural diagram of another color temperature adjustment device provided by an embodiment of the present invention;

FIG. 6 is a schematic structural diagram of a computer device according to an embodiment of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that, the embodiments in the present application and the features in the embodiments may be arbitrarily combined with each other if there is no conflict.

The present invention provides the following specific embodiments that can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

At present, most display devices on the market are controlled by brightness adjustment, which brings a more comfortable sensory effect for users to watch the display screen; however, brightness adjustment has limitations on the protection and comfort of human eyes. Color temperature is a measure of the light color of a light source, and is the most common indicator of the spectral quality of a light source. Many studies have shown that color temperature can affect people's emotions. The application of color temperature to display lighting systems will be very popular.

Studies have shown that color temperature has a significant impact on human psychology. The higher the color temperature, the cooler the light, and the lower the color temperature, the warmer the light. When the color temperature is below 3300 Kelvin (Kelvin: K for short), most of the red light is warm, and it is usually used indoors and in environments with low visibility; the color temperature is between 3300K and 5000K. Green, Blue, abbreviated as: RGB) with equal proportions of three colors, are mostly used in shops, waiting halls and other environments; the color temperature greater than 5000K is cool color light, blue light is mostly in this part, and it is mostly used in outdoor, conference room and other environments with high visibility.

The above-mentioned background art has explained that several methods for adjusting color temperature in the prior art generally have the problems of poor adjustment accuracy, complicated calculation methods and difficult implementation.

FIG. 1 is a flowchart of a method for adjusting color temperature according to an embodiment of the present invention. The color temperature adjustment method provided by the embodiment of the present invention may include the following steps:

S110: Perform optimization processing on the initial color temperature relationship set according to the fitness value of each element in the initial color temperature relationship set to generate an optimized color temperature relationship set; wherein, each of the above sets (including the initial color temperature relationship set and the optimized color temperature relationship set) Each element is the corresponding relationship between the eye comfort value and the color temperature value, and the fitness value of each element in the optimized color temperature relationship set conforms to the first threshold.

The color temperature adjustment method provided by the embodiment of the present invention is a solution for adjusting the color temperature of a display device of a display device. The initial color temperature relationship set in the embodiment of the present invention includes a plurality of elements, and each element is a set of corresponding relationships, that is, the corresponding relationship between the eye comfort value and the color temperature value. The degree of adaptation to the value is different. For example, people of different ages and people with different eyesight conditions usually have different comfort levels for the same color temperature value. In addition, different users have different comfort levels for the same color temperature value.

In the embodiment of the present invention, the initial color temperature relationship set can be obtained by deduction based on experience or theory, that is, the corresponding relationship between the eye comfort value and the color temperature value of different groups of people or different users is listed first, and then the fitness value is calculated for these corresponding relationships, And optimize the initial color temperature relationship set according to the fitness value of each set of corresponding relationships, that is, verify whether each set of corresponding relationships (that is, each element) in the initial color temperature relationship set is the best or better corresponding relationship, that is, verify the initial color temperature relationship. Whether the fitness value of each group of corresponding relationships in the color temperature relationship set meets the specific threshold requirements, for example, whether each group of corresponding relationships meets the requirements of the first threshold, and optimizes the corresponding relationships that do not meet the first threshold requirements to generate The optimized optimized color temperature relationship set, the result of the optimization is that each element in the optimized color temperature relationship set (that is, the corresponding relationship between the re-obtained eye comfort value and the color temperature value) conforms to the first threshold, and the first threshold That is, the minimum requirement for the fitness value of each element in the initial color temperature relationship set. It can be understood that the elements in the initial color temperature relationship set that meet the first threshold can be directly retained in the optimized color temperature relationship set. Elements of a threshold are to be replaced by new elements such that each element in the set of optimized color temperature relationships conforms to the first threshold.

It should be noted that in the embodiment of the present invention, the fitness value of each element is used to measure whether the color temperature value in each group of corresponding relationships conforms to the human eye comfort. For example, a certain group of corresponding relationships is: eye comfort value (a user The eye comfort level 1) corresponds to the color temperature value x, if the fitness value of this group of corresponding relationships is the highest or higher level, such as level 1 or level 2, then the fitness value meets the first threshold, if this group corresponds to If the fitness value of the relationship is at a lower level, such as level 3 or level 4, the fitness value does not meet the first threshold. In addition, in the embodiment of the present invention, the eye comfort value in each group of corresponding relationships may be divided into groups, or may be the eye comfort value of a specific user, which may be set by the user of the terminal device.

In practical applications, the acquisition method of the fitness value of each group of corresponding relationships (that is, each element) in the initial color temperature relationship set may be, for example, pairing and combining multiple eye comfort values and multiple color temperature values, and traversing all Possible combinations, each of the above combinations is a set of corresponding relationships (ie, one element), and then all elements are simulated to obtain the fitness values of these elements. For example, the fitness value of an element can be divided into four grades, including: first, second, third and fourth grades, and the eye comfort value can be divided into three grades, including: S grade (the state corresponds to comfort), M grade (state corresponds to fatigue) and L level (state corresponds to very tired), the color temperature value is divided into 6 levels, including: warm light reddish (RB), normal warm light (RM), normal natural white light (RS), natural white light slightly Blue slant (BS), normal cool light (BM), cool light slanted blue (BL); during the simulation process, due to the environment with different color temperature values, the user's eyes experience different effects, and the user's eyes are in the above different states. , the experience effect on the color temperature value is also different. Therefore, simulate the actual situation for all the combinations shown in Table 1 (each combination corresponds to an element) to obtain its fitness value. For example, the simulation process can be performed by a computer program. The simulation processing performed, as shown in Table 1, is an example of the fitness value corresponding to the above-mentioned different combinations (elements).

Table 1

It should be noted that the correspondence between the eye comfort value and the color temperature value shown in Table 1, and the fitness values of different correspondences are only schematic descriptions, and do not mean that the eye comfort can only be divided in the above manner. The level of value and color temperature value, nor does it mean that the fitness value of the element includes only a few cases exemplified in Table 1.

S120: Detect the eye comfort value of the current user, and determine the color temperature value corresponding to the eye comfort value of the current user according to the corresponding relationship between the eye comfort value and the color temperature value of each element in the optimized color temperature relationship set, and according to the determined color temperature value color temperature value to adjust the color temperature.

In the embodiment of the present invention, an optimized color temperature relationship set after optimizing the initial color temperature relationship set has been obtained, and the fitness value of each element in the optimized color temperature relationship set conforms to the first threshold, that is, the eye obtained after optimization The corresponding relationship between the comfort value and the color temperature value is a combination that conforms to the comfort of the human eye. Therefore, when a user uses a terminal device, the terminal device can know the specific user or the user's group division, and the camera of the terminal device can obtain the current user's information by shooting the user. Eye comfort value, and match the user's eye comfort value in each set of corresponding relationships (that is, each element) in the optimized color temperature relationship set according to the current user's eye comfort value, and find the same value as the current user's eye comfort value or a close set of corresponding relationships, the color temperature value of the set of corresponding relationships is determined as the target value for performing color temperature adjustment, so that color temperature adjustment is performed according to the color temperature value determined above.

For example, the terminal device shoots the eyes of the current user through a camera, and can obtain the blink frequency of the current user by shooting consecutive frames, and different blink frequencies correspond to different eye comfort values. For another example, the terminal device can also capture the current user's eye closure ratio through a camera, and detect the current user's eye comfort value according to the eye closure ratio. For example, the eye comfort value is divided into three levels, and the corresponding states are respectively awake. , fatigue and very tired, when the eye closure ratio is less than 0.075, the state at this time is awake, and the eye comfort value is comfort level 1. When the eye closure ratio is between 0.075 and 0.15, the state at this time is fatigue, The eye comfort value is comfort level 2, when the eye closure ratio is greater than 0.15, the state is very tired, and the eye comfort value is comfort level 3.

Among the methods of adjusting color temperature in the prior art, there are generally problems that the color temperature value formula is not well set and the adjustment method is single, and further, there are problems of poor adjustment accuracy and poor real-time performance; Individual differences lead to different needs for eye comfort, and the adjustment method is not humane enough.

The color temperature adjustment method provided by the embodiment of the present invention matches to an optimal or better color temperature value based on the eye comfort values of different groups of people or different users, and associates the color temperature value with a specific group of people or specific users. Differences, match the color temperature value suitable for each user, solve the problem of long-term use of a single color temperature affecting the comfort of the human eye, and provide a personalized and intelligent way to adjust the color temperature.

The color temperature adjustment method provided by the embodiment of the present invention performs optimization processing on the pre-established initial color temperature relationship set according to the fitness value of each element in the initial color temperature relationship set, so as to generate an optimized color temperature relationship in which each element complies with the preset conditions Therefore, when the eye comfort value of the current user is detected, according to the corresponding relationship between the eye comfort value and the color temperature value of each element in the optimized color temperature relationship set, the detected eye comfort value of the current user corresponds to The elements in the above set are the corresponding relationship between the eye comfort value and the color temperature value; the color temperature adjustment method provided by the embodiment of the present invention takes into account the personal differences of different groups of people or different users. The color temperature value of different groups or specific users improves the intelligence and humanization of color temperature adjustment.

Optionally, FIG. 2 is a flowchart of another color temperature adjustment method provided by an embodiment of the present invention. On the basis of the embodiment shown in FIG. 1 , in the method provided by the embodiment of the present invention, an implementation manner of S110 may include:

S111, according to the fitness value of each element in the initial color temperature relationship set, in the initial color temperature relationship set, select elements whose fitness values meet the first threshold as the first subset, and select elements whose fitness values do not meet the first threshold as the first subset. elements as the second subset;

S112, performing a genetic operation on the second subset, and using the generated fitness value to meet the elements of the first threshold as the third subset;

S113, add the first subset and the third subset to the optimized color temperature relationship set.

In this embodiment of the present invention, since there may be some corresponding relationships (ie elements) in the initial color temperature relationship set with high fitness values, these elements themselves already meet the requirements of the first threshold, that is, these elements do not need to be optimized any more , only those elements in the initial color temperature relationship set that do not meet the first threshold (that is, the elements whose fitness value does not reach the first threshold) are optimized. Therefore, the elements whose fitness value itself is higher and meet the first threshold can be optimized first. Selected as the first subset, the remaining elements whose fitness values do not meet the first threshold are used as the second subset, and all the elements in the first subset may be used as elements in the optimized color temperature relationship set. Subsequently, the optimization process is specifically performed on the second subset, for example, a genetic algorithm may be used to perform the optimization process, that is, a genetic operation is performed on the second subset to generate elements whose fitness values all meet the first threshold. The elements generated by performing the genetic operation are no longer the original elements in the initial set of color temperature relationships, and these new elements are used as elements in the third subset.

In practical applications, the implementation of the genetic operation on the second subset may be to recombine each set of correspondences in the second subset, for example, using proportional roulette to select the best element to retain. The specific implementation may be: first Record and retain the element with the best fitness value. When the number of elements in the subset reaches the requirement, replace the element with the poor fitness value with the element with the better fitness value, that is, replace the old element with the new element, and finally generate A third subset of element fitness values conforming to the first threshold.

The embodiment of the present invention performs optimization processing by performing genetic operations on the second subset, so as to obtain a third subset whose fitness values of elements all meet the first threshold. The evolutionary rule of "survival of the fittest, survival of the fittest" treats elements as individuals, uses deterministic sampling selection, first records the individual with the highest fitness value, and when the number of groups is reached, replaces the individual with the highest fitness with the individual with the best fitness poor individual. The optimization method using genetic algorithm is simple to calculate and easy to implement. For example, the fitness value of each element is calculated, and the conventional operation method in genetic algorithm can be used according to the fitness value, which solves the problem of color temperature in the prior art When adjusting, the formula is difficult to set and the calculation method is complicated and difficult to realize.

Further, the operations in genetic operations include, for example, selection operations, crossover operations, and mutation operations. In S112 in this embodiment of the present invention, performing a genetic operation on the second subset, and using the generated elements whose fitness values meet the first threshold as the third subset may include: performing selection on the elements in the second subset One or more of operations, crossover operations, and mutation operations until a third subset is generated. In this embodiment of the present invention, elements whose fitness values meet the first threshold can be obtained through multiple iteration operations.

In the operation mode of the genetic algorithm, there are selection operators, crossover operators and mutation operators. When performing the above selection operations, crossover operations and mutation operations, the corresponding operators can be applied to the population (that is, in the embodiment of the present invention). The initial color temperature relationship set) is calculated. Among them, for the selection operation, the purpose is to inherit the better individuals (ie elements) to the next generation, which can be directly selected and then copied to join the new group; for the crossover operation, the parent individuals (elements in the second subset) follow the A new individual (elements in the second subset) can be formed by randomly exchanging the front and rear parts of a gene with a certain probability. For example, a single-point crossover operation can be adopted. In biological genetics, a gene is a unit that constitutes a chromosome. In the embodiment of the present invention, it can be The combination of eye comfort value and color temperature value is defined as a gene, which is an element; for mutation operation, the properties of an individual are randomly changed according to a small probability, such as gene-based single-point mutation, when performing crossover and mutation operations Afterwards, elements whose fitness value meets the first threshold are added to the third subset.

It should be noted that since all the elements in the second subset do not meet the requirements of the first threshold, when performing one or more of the selection operation, the crossover operation and the mutation operation on the elements in the second subset, it can be known that: The elements with higher fitness values selected during the selection operation actually do not meet the requirements of the first threshold. Therefore, these elements are only used as an intermediate variable in the optimization process, and other genetic operations should continue to be performed on these elements, such as Crossover operation and mutation operation; crossover operation and mutation operation can also be performed on the elements that have not performed the selection operation, that is, S112 in the embodiment shown in FIG. 2 may include:

Step 1, select elements in the second subset whose fitness values meet the second threshold, and perform a crossover operation or mutation operation on the selected elements;

Step 2, perform a crossover operation or mutation operation on the unselected elements in the second subset.

In the practical application of performing genetic operations, it is usually not necessary to perform one round of selection operations, crossover operations and mutation operations to obtain elements that meet the requirements, and usually requires multiple iterations. In this embodiment of the present invention, after performing the above steps 1 and 2, an intermediate state set may be generated. After the above genetic operation is performed, some elements of the intermediate state set may have fitness values that meet the first threshold. This part of the elements is used as the elements in the third set, and the fitness value of some elements does not meet the first threshold, and this part of the elements is used as the elements in the fourth set; then, the fourth subset can be continued to perform genetic operations, The genetic manipulation is performed in the same way as the genetic manipulation on the second subset. That is to say, S112 in the embodiment shown in FIG. 2 may further include:

Step 3, adding the elements whose fitness values generated after Step 1 and Step 2 meet the first threshold to the third subset, and adding the elements whose fitness values do not meet the first threshold to the fourth subset;

Step 4, according to the fitness value of each element in the fourth subset, perform one or more of the selection operation, the crossover operation and the mutation operation on the fourth subset, until the fitness values of the elements generated after the operation are consistent with each other. first threshold.

The following describes in detail the implementation of the color temperature adjustment method provided by the embodiment of the present invention. As shown in FIG. 3 , it is a flowchart of another color temperature adjustment method provided by the embodiment of the present invention. The method provided by the embodiment of the present invention includes:

S201, establish an initial color temperature relationship set, each element in the set is a corresponding relationship between eye comfort values and color temperature values; for example, N groups of corresponding relationships between eye comfort values and color temperature values can be randomly established, where N is 150, N can also be other numbers.

S202: Calculate the fitness value of each element in the initial color temperature relationship set. The definition of the fitness value may be: under the current color temperature, when the blinking frequency of the eye is within a specified threshold range, the fitness is high, and the blinking frequency of the eye is high. If it exceeds the specified threshold range by 20%, it is considered as the middle level of fitness, and if the blink frequency of the eyes exceeds the specified threshold range by 50%, it is considered as the low level of fitness.

S203, determine whether the fitness value of the element meets the first threshold; if so, execute S204; if not, execute S205;

S204, adding elements whose fitness values meet the first threshold to the optimized color temperature relationship set;

S205, adding elements whose fitness values do not meet the first threshold into the second subset;

S206, judging whether the fitness value of each element in the second subset meets the second threshold; if so, execute S207, if not, execute S208;

S207, select the element whose fitness value meets the second threshold; S208 can be performed subsequently;

S208, perform a crossover operation or mutation operation on the elements to obtain a new element;

In this embodiment, after S208, S203 may be continued, that is, it is determined whether the fitness value of the new element meets the first threshold, and after multiple rounds, until the fitness values of all elements meet the first threshold, Then the judgment is ended, and the optimized color temperature combination is obtained at this time.

Based on the color temperature adjustment methods provided by the above embodiments of the present invention, an embodiment of the present invention further provides a color temperature adjustment device, which is used to execute the color temperature adjustment method provided by any of the above embodiments of the present invention.

As shown in FIG. 4 , it is a schematic structural diagram of a color temperature adjustment device according to an embodiment of the present invention. The color temperature adjustment device 30 provided in this embodiment includes: an optimization processing module 31 , a color temperature determination module 32 and a color temperature adjustment module 33 .

Wherein, the optimization processing module 31 is configured to perform optimization processing on the initial color temperature relationship set according to the fitness value of each element in the initial color temperature relationship set, and generate an optimized color temperature relationship set; wherein, each element in the set is comfortable for the eyes The corresponding relationship between the degree value and the color temperature value, and the fitness value of each element in the optimized color temperature relationship set conforms to the first threshold.

The color temperature adjustment device provided by the embodiment of the present invention is used to adjust the color temperature of a display device of a display device. The initial color temperature relationship set in the embodiment of the present invention includes a plurality of elements, and each element is a set of corresponding relationships, that is, the corresponding relationship between the eye comfort value and the color temperature value. The degree of adaptation to the value is different. For example, people of different ages and people with different eyesight conditions usually have different comfort levels for the same color temperature value. In addition, different users have different comfort levels for the same color temperature value.

In the embodiment of the present invention, the initial color temperature relationship set can be obtained by deduction based on experience or theory, that is, the corresponding relationship between the eye comfort value and the color temperature value of different groups of people or different users is listed first, and then the fitness value is calculated for these corresponding relationships, The optimization processing module 31 performs optimization processing on the initial color temperature relationship set according to the fitness value of each set of corresponding relationships, that is, it verifies whether each set of corresponding relationships (ie, each element) in the initial color temperature relationship set is the best or better corresponding relationship. , that is, to verify whether the fitness value of each group of corresponding relationships in the initial color temperature relationship set meets the specific threshold requirements, such as whether each group of corresponding relationships meets the requirements of the first threshold, and the corresponding relationships that do not meet the first threshold requirements are checked. The optimization process generates an optimized set of optimized color temperature relationships, and the result of the optimization is that each element in the set of optimized color temperature relationships (that is, the corresponding relationship between the re-obtained eye comfort value and the color temperature value) conforms to the first threshold value, The first threshold is the minimum requirement for the fitness value of each element in the initial color temperature relationship set. It can be understood that elements in the initial color temperature relationship set that meet the first threshold can be directly retained in the optimized color temperature relationship set. Elements that do not meet the first threshold are to be replaced by new elements, so that each element in the set of optimized color temperature relationships meets the first threshold.

It should be noted that in the embodiment of the present invention, the fitness value of each element is used to measure whether the color temperature value in each group of corresponding relationships conforms to the human eye comfort. For example, a certain group of corresponding relationships is: eye comfort value (a user The eye comfort level 1) corresponds to the color temperature value x, if the fitness value of this group of corresponding relationships is the highest or higher level, such as level 1 or level 2, then the fitness value meets the first threshold, if this group corresponds to If the fitness value of the relationship is at a lower level, such as level 3 or level 4, the fitness value does not meet the first threshold. In addition, in the embodiment of the present invention, the eye comfort value in each group of corresponding relationships may be divided into groups, or may be the eye comfort value of a specific user, which may be set by the user of the terminal device. In addition, the above-mentioned embodiments have already schematically described how to obtain the fitness value of each group of corresponding relationships (ie, each element) in the initial color temperature relationship set, and thus will not be repeated here.

The color temperature determination module 32 is used to detect the eye comfort value of the current user, and determine the eye comfort value of the current user according to the corresponding relationship between the eye comfort value and the color temperature value of each element in the optimized color temperature relationship set generated by the optimization processing module 31 The color temperature value corresponding to the value;

The color temperature adjustment module 33 is configured to adjust the color temperature according to the color temperature value determined by the color temperature determination module 32 .

In the embodiment of the present invention, the optimization processing module 31 has obtained the optimized color temperature relationship set after optimizing the initial color temperature relationship set, and the fitness value of each element in the optimized color temperature relationship set conforms to the first threshold, that is, the optimized color temperature relationship set The corresponding relationship between the eye comfort value and the color temperature value obtained later is a combination that conforms to the human eye comfort. Therefore, when a user uses a terminal device, the terminal device can know the specific user or the user's group division, and the camera of the terminal device can shoot the user. Obtain the eye comfort value of the current user, and match the user's eye comfort value in each group of corresponding relationships (that is, each element) in the optimized color temperature relationship set according to the eye comfort value of the current user by the color temperature determination module 32, and find For a set of correspondences that are the same or close to the eye comfort value of the current user, the color temperature value of the set of correspondences is determined as the target value for performing color temperature adjustment, so that the color temperature adjustment module 33 performs color temperature adjustment according to the color temperature value determined above.

For example, the terminal device shoots the eyes of the current user through a camera, and can obtain the blink frequency of the current user by shooting consecutive frames, and different blink frequencies correspond to different eye comfort values. For another example, the terminal device can also capture the current user's eye closure ratio through a camera, and detect the current user's eye comfort value according to the eye closure ratio. For example, the eye comfort value is divided into three levels, and the corresponding states are respectively awake. , fatigue and very tired, when the eye closure ratio is less than 0.075, the state at this time is awake, and the eye comfort value is comfort level 1. When the eye closure ratio is between 0.075 and 0.15, the state at this time is fatigue, The eye comfort value is comfort level 2, when the eye closure ratio is greater than 0.15, the state is very tired, and the eye comfort value is comfort level 3.

Among the methods of adjusting color temperature in the prior art, there are generally problems that the color temperature value formula is not well set and the adjustment method is single, and further, there are problems of poor adjustment accuracy and poor real-time performance; Individual differences lead to different needs for eye comfort, and the adjustment method is not humane enough.

The color temperature adjustment device provided by the embodiment of the present invention matches the optimal or better color temperature value based on the eye comfort values of different groups of people or different users, and associates the color temperature value with specific groups of people or specific users. Differences, match the color temperature value suitable for each user, solve the problem of long-term use of a single color temperature affecting the comfort of the human eye, and provide a personalized and intelligent way to adjust the color temperature.

In the color temperature adjustment device provided by the embodiment of the present invention, the optimization processing module performs optimization processing on the pre-established initial color temperature relationship set according to the fitness value of each element in the initial color temperature relationship set, so as to generate a set of elements that meet the preset conditions ( The first threshold) of the optimized color temperature relationship set, so that when the color temperature determination module detects the eye comfort value of the current user, it is determined according to the corresponding relationship between the eye comfort value and the color temperature value of each element in the optimized color temperature relationship set. The color temperature value corresponding to the eye comfort value of the current user, so that the color temperature adjustment module performs color temperature adjustment according to the color temperature value determined above, and the elements in the above set are the corresponding relationship between the eye comfort value and the color temperature value; the implementation of the present invention The color temperature adjustment device provided in the example, considering the individual differences of different groups of people or different users, matches color temperature values suitable for different groups of people or specific users, which improves the intelligence and humanization of color temperature adjustment.

Optionally, FIG. 5 is a schematic structural diagram of another color temperature adjustment device provided by an embodiment of the present invention. On the basis of the structure of the device shown in FIG. 4 , in the device provided by the embodiment of the present invention, the optimization processing module 31 may include:

The selection unit 311 is configured to select elements whose fitness values meet the first threshold in the initial color temperature relationship set as the first subset according to the fitness value of each element in the initial color temperature relationship set, and set the fitness values that do not meet the first threshold value as the first subset. a threshold of elements as the second subset;

a processing unit 312, configured to perform a genetic operation on the second subset, and use the generated fitness value in line with the element of the first threshold as the third subset;

The generating unit 313 is configured to add the first subset and the third subset to the optimized color temperature relationship set.

In this embodiment of the present invention, since there may be some corresponding relationships (ie elements) in the initial color temperature relationship set with high fitness values, these elements themselves already meet the requirements of the first threshold, that is, these elements do not need to be optimized any more , only those elements in the initial color temperature relationship set that do not meet the first threshold (that is, the elements whose fitness value does not reach the first threshold) are optimized. Therefore, the elements whose fitness value itself is higher and meet the first threshold can be optimized first. Selected as the first subset, the remaining elements whose fitness values do not meet the first threshold are used as the second subset, and all the elements in the first subset may be used as elements in the optimized color temperature relationship set. Subsequently, the optimization process is specifically performed on the second subset, for example, a genetic algorithm may be used to perform the optimization process, that is, a genetic operation is performed on the second subset to generate elements whose fitness values all meet the first threshold. The elements generated by performing the genetic operation are no longer the original elements in the initial set of color temperature relationships, and these new elements are used as elements in the third subset.

In practical applications, the implementation of the genetic operation on the second subset may be to recombine each set of correspondences in the second subset, for example, using proportional roulette to select the best element to retain. The specific implementation may be: first Record and retain the element with the best fitness value. When the number of elements in the subset reaches the requirement, replace the element with the poor fitness value with the element with the better fitness value, that is, replace the old element with the new element, and finally generate A third subset of element fitness values conforming to the first threshold.

The embodiment of the present invention performs optimization processing by performing genetic operations on the second subset, so as to obtain a third subset whose fitness values of elements all meet the first threshold. The evolutionary rule of "survival of the fittest, survival of the fittest" treats elements as individuals, uses deterministic sampling selection, first records the individual with the highest fitness value, and when the number of groups is reached, replaces the individual with the highest fitness with the individual with the best fitness poor individual. The optimization method using genetic algorithm is simple to calculate and easy to implement. For example, the fitness value of each element is calculated, and the conventional operation method in genetic algorithm can be used according to the fitness value, which solves the problem of color temperature in the prior art When adjusting, the formula is difficult to set and the calculation method is complicated and difficult to realize.

Further, the operations in genetic operations include, for example, selection operations, crossover operations, and mutation operations. The processing unit 312 in this embodiment of the present invention performs a genetic operation on the second subset, and uses the generated elements whose fitness values meet the first threshold as the third subset. The implementation may include: performing selection on the elements in the second subset One or more of operations, crossover operations, and mutation operations until a third subset is generated. In this embodiment of the present invention, elements whose fitness values meet the first threshold can be obtained through multiple iteration operations.

In the operation mode of the genetic algorithm, there are selection operators, crossover operators and mutation operators. When performing the above selection operations, crossover operations and mutation operations, the corresponding operators can be applied to the population (that is, in the embodiment of the present invention). The initial color temperature relationship set) is calculated. Among them, for the selection operation, the purpose is to inherit the better individuals (ie elements) to the next generation, which can be directly selected and then copied to join the new group; for the crossover operation, the parent individuals (elements in the second subset) follow the A new individual (elements in the second subset) can be formed by randomly exchanging the front and rear parts of a gene with a certain probability. For example, a single-point crossover operation can be adopted. In biological genetics, a gene is a unit that constitutes a chromosome. In the embodiment of the present invention, it can be The combination of eye comfort value and color temperature value is defined as a gene, which is an element; for mutation operation, the properties of an individual are randomly changed according to a small probability, such as gene-based single-point mutation, when performing crossover and mutation operations Afterwards, elements whose fitness value meets the first threshold are added to the third subset.

It should be noted that since all the elements in the second subset do not meet the requirements of the first threshold, when performing one or more of the selection operation, the crossover operation and the mutation operation on the elements in the second subset, it can be known that: The elements with higher fitness values selected during the selection operation actually do not meet the requirements of the first threshold. Therefore, these elements are only used as an intermediate variable in the optimization process, and other genetic operations should continue to be performed on these elements, such as Crossover operation and mutation operation; the crossover operation and mutation operation can also be performed on the elements for which the selection operation has not been performed, that is, the processing unit 312 in the embodiment of the present invention performs the selection operation, the crossover operation and the mutation operation on the elements in the second subset. One or more implementations, which may include:

Step 1, select elements in the second subset whose fitness values meet the second threshold, and perform a crossover operation or mutation operation on the selected elements;

Step 2, perform a crossover operation or mutation operation on the unselected elements in the second subset.

In the practical application of performing genetic operations, it is usually not necessary to perform one round of selection operations, crossover operations and mutation operations to obtain elements that meet the requirements, and usually requires multiple iterations. In this embodiment of the present invention, after performing the above steps 1 and 2, an intermediate state set may be generated. After the above genetic operation is performed, some elements of the intermediate state set may have fitness values that meet the first threshold. This part of the elements is used as the elements in the third set, and the fitness value of some elements does not meet the first threshold, and this part of the elements is used as the elements in the fourth set; then, the fourth subset can be continued to perform genetic operations, The genetic manipulation is performed in the same way as the genetic manipulation on the second subset. That is to say, the implementation manner in which the processing unit 312 performs one or more of the selection operation, the crossover operation and the mutation operation on the elements in the second subset may further include:

Step 3, adding the elements whose fitness values generated after Step 1 and Step 2 meet the first threshold to the third subset, and adding the elements whose fitness values do not meet the first threshold to the fourth subset;

Step 4, according to the fitness value of each element in the fourth subset, perform one or more of the selection operation, the crossover operation and the mutation operation on the fourth subset, until the fitness values of the elements generated after the operation are consistent with each other. first threshold.

FIG. 6 is a schematic structural diagram of a computer device according to an embodiment of the present invention. The computer device 40 provided in this embodiment of the present invention may include: a memory 41 and a processor 42 .

Wherein, the memory 41 is used to save executable instructions;

The processor 42 is configured to implement the color temperature adjustment method provided by any of the foregoing embodiments of the present invention when executing the executable instructions stored in the memory 41 .

The implementation of the computer device 40 provided by the embodiment of the present invention is basically the same as the color temperature adjustment method provided by the above-mentioned embodiment of the present invention, which is not repeated here.

Embodiments of the present invention further provide a computer-readable storage medium, where executable instructions are stored in the computer-readable storage medium, and when the executable instructions are executed by a processor, the color temperature adjustment method provided by any of the foregoing embodiments of the present invention can be implemented. The implementation of the computer-readable storage medium provided by the embodiment of the present invention is basically the same as the color temperature adjustment method provided by the above-mentioned embodiment of the present invention, which is not repeated here.

Although the embodiments disclosed in the present invention are as above, the described contents are only the embodiments adopted to facilitate the understanding of the present invention, and are not intended to limit the present invention. Any person skilled in the art to which the present invention belongs, without departing from the spirit and scope disclosed by the present invention, can make any modifications and changes in the form and details of the implementation, but the scope of the patent protection of the present invention still needs to be The scope defined by the appended claims shall prevail.

Claims (10)

1. a color temperature adjustment method, is characterized in that, comprises: According to the fitness value of each element in the initial color temperature relationship set, the initial color temperature relationship set is optimized to generate an optimized color temperature relationship set; wherein, each element in the set is the corresponding relationship between the eye comfort value and the color temperature value , the fitness value of each element in the optimized color temperature relationship set conforms to the first threshold; wherein, performing optimization processing on the initial color temperature relationship set to generate an optimized color temperature relationship set, including: In the initial color temperature relationship set, elements whose fitness values meet the first threshold are selected as the first subset, and elements whose fitness values do not meet the first threshold are selected as the second subset; Performing a genetic operation on the second subset, and using the generated fitness value that meets the first threshold as the third subset; adding the first subset and the third subset to the set of optimized color temperature relationships; Detect the eye comfort value of the current user, determine the color temperature value corresponding to the eye comfort value of the current user according to the corresponding relationship between the eye comfort value and the color temperature value of each element in the optimized color temperature relationship set, and determine the color temperature value corresponding to the eye comfort value of the current user. The determined color temperature value is used for color temperature adjustment. 2 . The color temperature adjustment method according to claim 1 , wherein the genetic operation is performed on the second subset, and the generated fitness value conforms to the element of the first threshold as the third subset, 2 . include: One or more of a selection operation, a crossover operation, and a mutation operation are performed on the elements in the second subset until the third subset is generated. 3. The color temperature adjustment method according to claim 2, wherein the performing one or more of a selection operation, a crossover operation and a mutation operation on the elements in the second subset, comprising: selecting elements in the second subset whose fitness values meet the second threshold, and performing a crossover operation or mutation operation on the selected elements; A crossover or mutation operation is performed on unselected elements in the second subset. 4. The color temperature adjustment method according to claim 3, wherein the performing one or more of a selection operation, a crossover operation and a mutation operation on the elements in the second subset, further comprising: Adding elements whose fitness values generated after the previous operation meet the first threshold are added to the third subset, and elements whose fitness values do not meet the first threshold are added to the fourth subset, according to the The fitness value of each element in the fourth subset performs one or more of a selection operation, a crossover operation, and a mutation operation on the fourth subset, until the fitness values of the elements generated after the operation meet the requirements of the fourth subset. a threshold. 5. A color temperature adjustment device, characterized in that, comprising: The optimization processing module is configured to perform optimization processing on the initial color temperature relationship set according to the fitness value of each element in the initial color temperature relationship set to generate an optimized color temperature relationship set; wherein, each element in the set is an eye comfort value The corresponding relationship with the color temperature value, the fitness value of each element in the optimized color temperature relationship set conforms to the first threshold; the optimization processing module includes: The selection unit is configured to select the elements whose fitness values meet the first threshold in the initial color temperature relationship set as the first subset according to the fitness value of each element in the initial color temperature relationship set, and use the fitness value Elements that do not meet the first threshold are used as a second subset; a processing unit, configured to perform a genetic operation on the second subset, and use the generated fitness value that meets the first threshold as the third subset; a generating unit, configured to add the first subset and the third subset to the optimized color temperature relationship set; A color temperature determination module, configured to detect the eye comfort value of the current user, and determine the current user according to the corresponding relationship between the eye comfort value and the color temperature value of each element in the optimized color temperature relationship set generated by the optimization processing module The color temperature value corresponding to the eye comfort value of ; The color temperature adjustment module is used to adjust the color temperature according to the color temperature value determined by the color temperature determination module. 6 . The color temperature adjustment device according to claim 5 , wherein the processing unit performs a genetic operation on the second subset, and uses an element whose fitness value meets the first threshold as the third subset. 7 . set, including: One or more of a selection operation, a crossover operation, and a mutation operation are performed on the elements in the second subset until the third subset is generated. 7. The color temperature adjustment device according to claim 6, wherein the processing unit performs one or more of a selection operation, a crossover operation and a mutation operation on the elements in the second subset, comprising: selecting elements in the second subset whose fitness values meet the second threshold, and performing a crossover operation or mutation operation on the selected elements; A crossover or mutation operation is performed on unselected elements in the second subset. 8. The color temperature adjustment device according to claim 7, wherein the processing unit performs one or more of a selection operation, a crossover operation and a mutation operation on the elements in the second subset, further comprising: Adding elements whose fitness values generated after the previous operation meet the first threshold are added to the third subset, and elements whose fitness values do not meet the first threshold are added to the fourth subset, according to the The fitness value of each element in the fourth subset performs one or more of a selection operation, a crossover operation, and a mutation operation on the fourth subset, until the fitness values of the elements generated after the operation meet the requirements of the fourth subset. a threshold. 9. A computer device, comprising: a memory and a processor; the memory for storing executable instructions; The processor is configured to implement the color temperature adjustment method according to any one of claims 1 to 4 when executing the executable instructions stored in the memory. 10 . A computer-readable storage medium, wherein the computer-readable storage medium stores executable instructions, and when the executable instructions are executed by a processor, the implementation of any one of claims 1 to 4 is realized. color temperature adjustment method.

Images